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汽車用人工智能的市場規模，佔有率，趨勢分析報告:各零件，各自規則性等級，各技術，各車種，各地區，市場區隔趨勢，2023年～2030年
市場調查報告書
商品編碼
1301268

汽車用人工智能的市場規模，佔有率，趨勢分析報告:各零件，各自規則性等級，各技術，各車種，各地區，市場區隔趨勢，2023年～2030年

Automotive Artificial Intelligence Market Size, Share & Trends Analysis Report By Component, By Level Of Autonomy, By Technology (Machine Learning, Natural Language Processing), By Vehicle Type, By Region, and Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10個工作天內

價格

汽車用人工智能市場成長和趨勢

Grand View Research的最新報告顯示，全球汽車用人工智能市場規模2030年之前預計達到149億2,000萬美元。

預計從 2023 年到 2030 年，該行業將以 22.7% 的複合年增長率擴張。汽車行業的人工智能 (AI) 受到政府努力整合自動駕駛以及對自動駕駛汽車不斷增長的需求等因素的推動。此外，汽車行業的擴張可能會推動人工智能市場。汽車行業受益於人工智能，是利用人工智能增強和復制人類行為的主要行業之一。例如，2023年3月，RoboSense宣布推出汽車級固態激光雷達感知解決方案RS-Fusion-P6（P6）。P6激光雷達系統專為4級自動駕駛而設計，集成最先進的軟硬體支持，確保自動駕駛車輛高效可靠的感知能力。

ADAS（高級駕駛員輔助系統）、盲點警報和 ACC（自適應巡航控制）等新興標準，以及對便利功能不斷增長的需求，使得人工智能對汽車提供商具有吸引力。人工智能的關鍵任務爆發需要分析、警告和指導。汽車 ADAS 由各種先進傳感器組成，例如激光雷達、慣性測量單元 (IMU)、雷達、攝像頭，以及用於持續上傳和下載周圍環境的數據連接以及壓力和溫度傳感器。信號鏈需要對傳感器輸出和檢測進行適當的調節，以及車輛基礎設施內部和周圍的可靠的低延遲通信。

人工智能融入汽車行業的產品、生產製造流程和價值鏈，在汽車行業具有巨大潛力。人工智能的部署預計將為更安全、更清潔、更高效、更可靠的移動生態系統做出重大貢獻。例如，聯網和自動駕駛汽車中的人工智能應用將提高服務人員的安全性、監控、態勢感知、舒適度和軌跡預測。它還可以顯著提高性能和效率，例如改善物流流程和交通流動性，並減少燃料和電力消耗。

近年來，生產自動駕駛系統（ADS）技術的公司投入巨資對虛擬環境中運行的自動駕駛車輛進行實時測試，以確保其可靠性和安全性。然而，自2020年3月開始的COVID-19大流行，以其突然發作和持續回潮的影響，阻礙、擾亂和推遲了這些新產品開發測試目標的實現。Adrian Chen-Yang Tan 於 2022 年 3 月 10 日發表的一項研究使用了加州自動駕駛車輛測試計劃的數據來探討這一流行病將如何影響測試趨勢、重新開放和測試條件。該研究強調了在疫情背景下政府採取措施鼓勵和促進自動駕駛汽車發展的重要性。

汽車用人工智能市場報告亮點

  • 預計軟體行業在未來幾年將顯著增長。採用 ADAS 或自動駕駛運行時軟體和特殊處理元件類型可加速某些算法步驟。汽車行業採用人工智能的持續趨勢將推動未來幾年的市場增長
  • 2022 年，2 級細分市場以超過 67% 的全球銷售額佔有率引領市場。2級自動駕駛技術是指能夠處理加速、制動和轉向等特定駕駛任務的系統，但仍需要對輔助者保持警惕並能夠在需要時對其進行控制。
  • 預計亞太地區在預測期內復合年增長率最高。該地區具有先進人工智能功能的高端乘用車銷量不斷增長，吸引了尋求更先進駕駛體驗的消費者。用於購買技術先進車輛的消費者可支配收入的增加正在推動對人工智能驅動的汽車解決方案的需求。
  • 汽車製造商對人工智能和激光雷達的投資正在推動整個行業的增長，以滿足對智能汽車不斷增長的需求。

目錄

第1章 調查手法和範圍

  • 調查手法
  • 調查範圍與前提條件
  • 資訊採購
    • 購買的資料庫
    • Gvr內部資料庫
    • 二次資訊和第三者的觀點
    • 1次調查
  • 資訊分析
    • 資料分析模式
  • 市場形成和資料的視覺化
  • 資料的檢驗與公開

第2章 摘要整理

  • 市場預測
  • 各市場區隔預測
  • 競爭考察

第3章 市場變數，趨勢，及範圍

  • 市場系統
  • 產業的價值鏈分析
  • 汽車用人工智能市場-市場動態
    • 推動市場要素分析
    • 阻礙市場要素分析
    • 產業的相關課題
    • 產業的機會
  • 商務環境工具分析:汽車用人工智能市場
    • 波特的五力分析
    • 大環境分析
  • 經濟大趨勢分析

第4章 汽車用人工智能市場:零組件的估計·趨勢分析

  • 汽車用人工智能市場，各零件:重要的要點
  • 汽車用人工智能市場:零組件的變動分析，2022年及2030年
  • 硬體設備
    • 市場估計·預測，2017～2030年
  • 軟體
    • 市場估計·預測，2017～2030年

第5章 汽車用人工智能市場:自規則性層級的估計·趨勢分析

  • 汽車用人工智能市場，各自規則性等級:重要的要點
  • 汽車用人工智能市場:自規則性層級的變動分析，2022年及2030年
  • 第1級
    • 市場估計·預測，2017～2030年
  • 第2級
    • 市場估計·預測，2017～2030年
  • 第3級
    • 市場估計·預測，2017～2030年
  • 層級4
    • 市場估計·預測，2017～2030年

第6章 汽車用人工智能市場:技術的估計·趨勢分析

  • 汽車用人工智能市場，各技術:重要的要點
  • 汽車用人工智能市場:技術的變動分析，2022年及2030年
  • 機器學習
    • 市場估計·預測，2017～2030年
  • 自然語言處理
    • 市場估計·預測，2017～2030年
  • computer vision
    • 市場估計·預測，2017～2030年
  • 情境認知計算
    • 市場估計·預測，2017～2030年
  • 其他
    • 市場估計·預測，2017～2030年

第7章 汽車用人工智能市場:車型的估計·趨勢分析

  • 汽車用人工智能市場，各車種:重要的要點
  • 汽車用人工智能市場:車型的變動分析，2022年及2030年
  • 小客車
    • 市場估計·預測，2017～2030年
  • 商用車
    • 市場估計·預測，2017～2030年

第8章 汽車用人工智能市場:地區估計·趨勢分析

  • 汽車用人工智能市場:地區的變動分析，2022年及2030年
  • 北美
    • 市場估計·預測，2017～2030年
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 市場估計·預測，2017～2030年
    • 德國
    • 法國
    • 英國
  • 亞太地區
    • 市場估計·預測，2017～2030年
    • 中國
    • 日本
    • 印度
  • 中南美
    • 市場估計·預測，2017～2030年
    • 巴西
  • 中東和非洲
    • 市場估計·預測，2017～2030年

第9章 競爭情形

  • 企業的分類
  • 企業的市場上的地位
  • 企業熱圖分析
  • 策略製圖
    • 擴張
    • 合併和收購
    • 夥伴關係和合作
    • 新產品的銷售
    • 研究開發
  • 企業簡介·一覽表
    • Alphabet Inc.
    • Intel Corporation
    • Microsoft
    • Ibm Corporation
    • Nvidia Corporation
    • Qualcomm Technologies, Inc
    • Tesla
    • Ab Volvo
    • Bmw Ag
    • Audi Ag
Product Code: GVR-4-68039-994-6

Automotive Artificial Intelligence Market Growth & Trends

The global automotive artificial intelligence market size is expected to reach USD 14.92 billion by 2030, according to a new report by Grand View Research, Inc. The industry is anticipated to expand at a lucrative CAGR of 22.7% from 2023 to 2030. The artificial intelligence (AI) in the automotive industry is driven by factors such as government initiatives to incorporate autonomously and the growing demand for autonomous vehicles. Furthermore, the automotive industry's expansion will likely drive the artificial intelligence market. The automotive sector has benefitted from artificial intelligence and is one of the primary industries that use AI to augment and replicate human action. For instance, in March 2023, RoboSense announced the launch of the RS-Fusion-P6 (P6) automotive-grade solid-state LiDAR perception solution. The P6 LiDAR system is designed explicitly for level 4 autonomous driving and integrates cutting-edge software and hardware support, ensuring efficient and reliable perception capabilities for autonomous vehicles.

The advent of standards such as Advanced Driver Assistance Systems (ADAS), blind-spot alert, Adaptive Cruise Control (ACC), and increased demand for convenience features are attracting automotive providers to AI. AI mission-critical occurrences necessitate analysis, warnings, and directives. Automotive ADAS comprises various advanced sensors, such as LiDAR, Inertial Measurement Units (IMUs), radar, and cameras, as well as data connectivity and pressure and temperature sensors for constant uploads and downloads of surrounding conditions. The signal chain necessitates proper conditioning of sensor outputs and detection and reliable low-latency communications within the vehicle and the surrounding infrastructure.

AI has enormous potential in the automobile industry when embedded within the industry's products, production and manufacturing processes, and value-added chains. AI deployment is expected to contribute significantly to a safer, cleaner, more efficient, and more reliable mobility ecosystem. For instance, AI applications in connected and automated vehicles improve driver safety, monitoring, situational awareness, comfort, and trajectory prediction. It can lead to significant gains in performance and efficiency, such as enhanced logistical flows, traffic fluidity, and reduced fuel or power consumption.

In recent years, businesses manufacturing Automated Driving Systems (ADS) technology have substantially invested in live testing autonomous vehicles operating in virtual environments to assure their dependability and safety. However, the COVID-19 pandemic, which began in March 2020, prevented, disrupted, and delayed the achievement of these new product development test objectives due to its sudden beginning and continued resurgent impacts. A study published by Adrian Chen Yang Tan on March 10, 2022, used data from the California Automated Vehicle Test Program to ascertain how the pandemic impacted testing trends, resumptions, and test conditions. The study emphasized how crucial it is for government measures to encourage and facilitate the development of autonomous vehicles in pandemic situations.

Automotive Artificial Intelligence Market Report Highlights

  • The software segment is anticipated to grow significantly in the coming years. ADAS or autonomous driving runtime software and the employment of specialized processing element types speed up specific algorithmic steps. The ongoing trend of AI adoption in the automotive industry will drive market growth in the coming years
  • The level 2 segment led the market in 2022, accounting for over 67% share of the global revenue. Level-2 self-driving technology refers to a system that can handle certain driving tasks, such as acceleration, braking, and steering, but still requires the driver to be alert and ready to take control when needed
  • The APAC region is anticipated to witness the highest CAGR during the forecast period. The region's increasing sales of premium passenger automobiles equipped with advanced AI features have attracted consumers seeking enhanced driving experiences. Consumers' rise in disposable incomes to purchase technologically advanced vehicles is fueling the demand for AI-driven automotive solutions
  • Automotive manufacturers investments in AI and LiDAR have responded to the growing demand for intelligent vehicles, which has driven growth across the entire industry

Table of Contents

Chapter 1. Methodology And Scope

  • 1.1. Research Methodology
  • 1.2. Research Scope And Assumptions
  • 1.3. Information Procurement
    • 1.3.1. Purchased Database
    • 1.3.2. Gvr's Internal Database
    • 1.3.3. Secondary Sources & Third-Party Perspectives
    • 1.3.4. Primary Research
  • 1.4. Information Analysis
    • 1.4.1. Data Analysis Models
  • 1.5. Market Formulation & Data Visualization
  • 1.6. Data Validation & Publishing

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segmental Outlook
  • 2.3. Competitive Insights

Chapter 3. Market Variables, Trends, And Scope

  • 3.1. Market Lineage
  • 3.2. Industry Value Chain Analysis
  • 3.3. Automotive Ai Market - Market Dynamics
    • 3.3.1. Market Driver Analysis
      • 3.3.1.1. Increasing Government Vehicle Safety Regulations
      • 3.3.1.2. Increased Demand For Enhanced User Experience And Convenience Features
      • 3.3.1.3. Increasing Popularity Of Autonomous Vehicles
    • 3.3.2. Market Restraint Analysis
      • 3.3.2.1. Increase In Cost Of Vehicles
      • 3.3.2.2. Threat To Vehicles Cybersecurity
    • 3.3.3. Industry Challenges
    • 3.3.4. Industry Opportunities
  • 3.4. Business Environmental Tools Analysis: Automotive Ai Market
    • 3.4.1. Porter's Five Forces Analysis
      • 3.4.1.1. Bargaining Power Of Suppliers
      • 3.4.1.2. Bargaining Power Of Buyers
      • 3.4.1.3. Threat Of Substitution
      • 3.4.1.4. Threat Of New Entrants
      • 3.4.1.5. Competitive Rivalry
    • 3.4.2. Pestle Analysis
      • 3.4.2.1. Political Landscape
      • 3.4.2.2. Economic Landscape
      • 3.4.2.3. Social Landscape
      • 3.4.2.4. Technology Landscape
      • 3.4.2.5. Environmental Landscape
      • 3.4.2.6. Legal Landscape
  • 3.5. Economic Mega Trend Analysis

Chapter 4. Automotive Ai Market: Component Estimates & Trend Analysis

  • 4.1. Automotive Ai Market, By Component: Key Takeaways
  • 4.2. Automotive Ai Market: Component Movement Analysis, 2022 & 2030
  • 4.3. Hardware
    • 4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 4.4. Software
    • 4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 5. Automotive Ai Market: Level Of Autonomy Estimates & Trend Analysis

  • 5.1. Automotive Ai Market, By Level Of Autonomy: Key Takeaways
  • 5.2. Automotive Ai Market: Level Of Autonomy Movement Analysis, 2022 & 2030
  • 5.3. Level 1
    • 5.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 5.4. Level 2
    • 5.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 5.5. Level 3
    • 5.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 5.6. Level 4
    • 5.8.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 6. Automotive Ai Market: Technology Estimates & Trend Analysis

  • 6.1. Automotive Ai Market, By Technology: Key Takeaways
  • 6.2. Automotive Ai Market: Technology Movement Analysis, 2022 & 2030
  • 6.3. Machine Learning
    • 6.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 6.4. Natural Language Processing
    • 6.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 6.5. Computer Vision
    • 6.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 6.6. Context-Aware Computing
    • 6.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 6.7. Others
    • 6.7.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 7. Automotive Ai Market: Vehicle Type Estimates & Trend Analysis

  • 7.1. Automotive Ai Market, By Vehicle Type: Key Takeaways
  • 7.2. Automotive Ai Market: Vehicle Type Movement Analysis, 2022 & 2030
  • 7.3. Passenger Vehicles
    • 7.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 7.4. Commercial Vehicles
    • 7.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 8. Automotive Ai Market: Regional Estimates & Trend Analysis

  • 8.1. Automotive Ai Market: Regional Movement Analysis, 2022 & 2030
  • 8.2. North America
    • 8.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.2.2. U.S.
      • 8.2.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.2.3. Canada
      • 8.2.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.2.4. Mexico
      • 8.2.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.3. Europe
    • 8.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.3.2. Germany
      • 8.3.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.3.3. France
      • 8.3.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.3.4. Uk
      • 8.3.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.4. Asia Pacific
    • 8.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.4.2. China
      • 8.4.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.4.3. Japan
      • 8.4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.4.4. India
      • 8.4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.5. Central & South America
    • 8.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
    • 8.5.2. Brazil
      • 8.5.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
  • 8.6. Middle East & Africa
    • 8.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)

Chapter 9. Competitive Landscape

  • 9.1. Company Categorization
  • 9.2. Company Market Positioning
  • 9.3. Company Heat Map Analysis
  • 9.4. Strategy Mapping
    • 9.4.1. Expansion
    • 9.4.2. Mergers & Acquisition
    • 9.4.3. Partenerships & Collaborations
    • 9.4.4. New Product Launches
    • 9.4.5. Research & Development
  • 9.5. Company Profiles/Listing
    • 9.5.1. Alphabet Inc.
      • 9.5.1.1. Overview
      • 9.5.1.2. Financial Performance
      • 9.5.1.3. Product Benchmarking
    • 9.5.2. Intel Corporation
      • 9.5.2.1. Overview
      • 9.5.2.2. Financial Performance
      • 9.5.2.3. Product Benchmarking
    • 9.5.3. Microsoft
      • 9.5.3.1. Overview
      • 9.5.3.2. Financial Performance
      • 9.5.3.3. Product Benchmarking
    • 9.5.4. Ibm Corporation
      • 9.5.4.1. Overview
      • 9.5.4.2. Financial Performance
      • 9.5.4.3. Product Benchmarking
    • 9.5.5. Nvidia Corporation
      • 9.5.5.1. Overview
      • 9.5.5.2. Financial Performance
      • 9.5.5.3. Product Benchmarking
    • 9.5.6. Qualcomm Technologies, Inc
      • 9.5.6.1. Overview
      • 9.5.6.2. Financial Performance
      • 9.5.6.3. Product Benchmarking
    • 9.5.7. Tesla
      • 9.5.7.1. Overview
      • 9.5.7.2. Financial Performance
      • 9.5.7.3. Product Benchmarking
    • 9.5.8. Ab Volvo
      • 9.5.8.1. Overview
      • 9.5.8.2. Financial Performance
      • 9.5.8.3. Product Benchmarking
    • 9.5.9. Bmw Ag
      • 9.5.9.1. Overview
      • 9.5.9.2. Financial Performance
      • 9.5.9.3. Product Benchmarking
    • 9.5.10. Audi Ag
      • 9.5.10.1. Overview
      • 9.5.10.2. Financial Performance
      • 9.5.10.3. Product Benchmarking

List of Tables

  • Table 1 Automotive AI market - Industry snapshot & key buying criteria, 2017 - 2030
  • Table 2 Global automotive AI market, 2017 - 2030 (USD Million)
  • Table 3 Global automotive AI market, by region, 2017 - 2030 (USD Million)
  • Table 4 Global automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 5 Global automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 6 Global automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 7 Global automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 8 Automotive AI market - Key market driver impact
  • Table 9 Automotive AI market - Key market restraint impact
  • Table 10 Automotive AI - M&A, collaborations & partnership scenario
  • Table 11 Global component automotive AI market, by region, 2017 - 2030 (USD Million)
  • Table 12 Global hardware market, by region, 2017 - 2030 (USD Million)
  • Table 13 Global software market, by region, 2017 - 2030 (USD Million)
  • Table 14 Global level of Autonomy automotive AI market, by region, 2017 - 2030 (USD Million)
  • Table 15 Global level 1 market, by region, 2017 - 2030 (USD Million)
  • Table 16 Global level 2 market, by region, 2017 - 2030 (USD Million)
  • Table 17 Global level 3 market, by region, 2017 - 2030 (USD Million)
  • Table 18 Global level 4 market, by region, 2017 - 2030 (USD Million)
  • Table 19 Global technology automotive AI market, by region, 2017 - 2030 (USD Million)
  • Table 20 Global machine Learning market, by region, 2017 - 2030 (USD Million)
  • Table 21 Global natural Language Processing market, by region, 2017 - 2030 (USD Million)
  • Table 22 Global computer Vision market, by region, 2017 - 2030 (USD Million)
  • Table 23 Global context-aware computing market, by region, 2017 - 2030 (USD Million)
  • Table 24 Global others market, by region, 2017 - 2030 (USD Million)
  • Table 25 Global vehicle type automotive AI market, by region, 2017 - 2030 (USD Million)
  • Table 26 Global passenger vehicle market, by region, 2017 - 2030 (USD Million)
  • Table 27 Global commercial vehicle market, by region, 2017 - 2030 (USD Million)
  • Table 28 North America automotive AI market, 2017 - 2030 (USD Million)
  • Table 29 North America automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 30 North America automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 31 North America automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 32 North America automotive AI market, by vehicle type, 2017 - 2030 (USD Million) r
  • Table 33 U.S. automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 34 U.S. automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 35 U.S. automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 36 U.S. automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 37 Canada automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 38 Canada automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 39 Canada automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 40 Canada automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 41 Mexico automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 42 Mexico automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 43 Mexico automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 44 Mexico automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 45 Europe automotive AI market, 2017 - 2030 (USD Million)
  • Table 46 Europe automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 47 Europe automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 48 Europe automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 49 Europe automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 50 UK automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 51 UK automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 52 UK automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 53 UK automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 54 Germany automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 55 Germany automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 56 Germany automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 57 Germany automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 58 France automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 59 France automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 60 France automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 61 France automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 62 Asia Pacific automotive AI market, 2017 - 2030 (USD Million)
  • Table 63 Asia Pacific automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 64 Asia Pacific automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 65 Asia Pacific automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 66 Asia Pacific automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 67 China automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 68 China automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 69 China automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 70 China automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 71 Japan automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 72 Japan automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 73 Japan automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 74 Japan automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 75 India automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 76 India automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 77 India automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 78 India automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 79 Central and South America automotive AI market, 2017 - 2030 (USD Million)
  • Table 80 Central and South America automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 81 Central and South America automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 82 Central and South America automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 83 Central and South America automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 84 Brazil automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 85 Brazil automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 86 Brazil automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 87 Brazil automotive AI market, by vehicle type, 2017 - 2030 (USD Million)
  • Table 88 MEA automotive AI market, 2017 - 2030 (USD Million)
  • Table 89 MEA automotive AI market, by component, 2017 - 2030 (USD Million)
  • Table 90 MEA automotive AI market, by level of autonomy, 2017 - 2030 (USD Million)
  • Table 91 MEA automotive AI market, by technology, 2017 - 2030 (USD Million)
  • Table 92 MEA automotive AI market, by vehicle type, 2017 - 2030 (USD Million)

List of Figures

  • Fig. 1 Automotive AI Market Snapshot
  • Fig. 2 Automotive AI Market Segmentation & Scope
  • Fig. 3 Automotive AI Market Penetration & Growth Prospect Mapping
  • Fig. 4 Automotive AI Market Value Chain Analysis
  • Fig. 5 Automotive AI Market Dynamics
  • Fig. 6 Automotive AI Market Porter's Analysis
  • Fig. 7 Automotive AI Market: Component Movement Analysis
  • Fig. 8 Automotive AI Market: Level of Autonomy Movement Analysis
  • Fig. 9 Automotive AI Market: Technology Movement Analysis
  • Fig. 10 Automotive AI Market: Vehicle Type Movement Analysis
  • Fig. 11 Automotive AI Market: Regional Movement Analysis